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https://github.com/nlbao/pocket_stats
A tool to analyze your Pocket reading list.
https://github.com/nlbao/pocket_stats
dash data-visualization pocket python python3 reading-list statistics webapp
Last synced: about 2 months ago
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A tool to analyze your Pocket reading list.
- Host: GitHub
- URL: https://github.com/nlbao/pocket_stats
- Owner: nlbao
- License: mit
- Created: 2020-05-13T19:07:11.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-12-08T11:52:39.000Z (about 2 years ago)
- Last Synced: 2024-10-01T23:37:40.110Z (3 months ago)
- Topics: dash, data-visualization, pocket, python, python3, reading-list, statistics, webapp
- Language: Python
- Homepage: https://pocket-stats.nlbao.page
- Size: 1.96 MB
- Stars: 13
- Watchers: 1
- Forks: 1
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
[](https://badge.fury.io/py/pocket-stats)
[](https://codecov.io/gh/nlbao/pocket_stats)
[](https://lgtm.com/projects/g/nlbao/pocket_stats/alerts/)
[](https://lgtm.com/projects/g/nlbao/pocket_stats/context:python)
# Pocket Stats
A tool to analyze your [Pocket](https://app.getpocket.com/) reading list.
Deployed at https://pocket-stats.nlbao.page .
- [Pocket Stats](#pocket-stats)
- [Features](#features)
- [Word Cloud](#word-cloud)
- [Article Count timeseries](#article-count-timeseries)
- [Word Count distribution](#word-count-distribution)
- [Reading Speed & Reading Time](#reading-speed--reading-time)
- [Top Domains](#top-domains)
- [Language & Favorite](#language--favorite)
- [Installation](#installation)
- [Run web app locally](#run-web-app-locally)
- [Data querying](#data-querying)
- [Testing](#testing)
- [Deployment](#deployment)
- [Contribute](#contribute)
- [Authors](#authors)
- [License](#license)
- [Acknowledgments](#acknowledgments)
## Features
### Word Cloud
### Article Count timeseries
### Word Count distribution
Stacked histograms
### Reading Speed & Reading Time
Stacked histograms
### Top Domains
Stacked bar charts.
### Language & Favorite
## Installation
Prerequisites:
* A [Pocket](https://app.getpocket.com/) account.
* Pocket [consumer key](https://getpocket.com/developer/apps/new).
* Pocket access token. You can use [fxneumann's OneClickPocket tool](http://reader.fxneumann.de/plugins/oneclickpocket/auth.php) to automate this.
* Python 3.6+.
You can install using Pip:
```bash
pip3 install pocket-stats
```
Or clone this repo:
```bash
git clone https://github.com/nlbao/pocket_stats.git
cd pocket_stats
make setup
```
## Run web app locally
```bash
# Set necessary environment variables:
export POCKET_STATS_CONSUMER_KEY=''
export POCKET_STATS_ACCESS_TOKEN=''
# Start the webserver
gunicorn --workers 2 'pocket_stats.app:server' -b :8050 --reload
# You will see something like this:
# Dash is running on http://127.0.0.1:8050/
```
Go to http://127.0.0.1:8050/ from your web browser.
## Data querying
``` python
from pocket_stats.data import
```
- Count word in all the titles:
```python
>>> count_words_in_title(data)
Counter({'-': 5, '|': 5, 'python': 3, 'problem': 2, 'strace': 1, 'wow': 1, 'much': 1, 'syscall': 1, 'martin': 1, 'heinz': 1, 'personal': 1, 'website': 1, '&': 1, 'blog': 1, 'call': 1, 'programmer,': 1})
```
- Number of words in each article:
```python
>>> get_word_counts(data)
[2207, 0, 5449, 4721, 3245, 805, 1849, 4087, 0, 538, 5054, 21, 866, 266, 1146, 213, 823, 3551, 787, 0]
```
- Reading time of each article:
```python
>>> get_reading_time(data)
[9.80888888888889, 24.217777777777776, 20.982222222222223, 14.422222222222222, 3.577777777777778, 8.217777777777778, 18.164444444444445, 2.391111111111111, 22.462222222222223, 0.09333333333333334, 3.848888888888889, 1.1822222222222223, 5.093333333333334, 0.9466666666666667, 3.6577777777777776, 15.782222222222222, 3.497777777777778]
```
- Number of newly added articles per day:
```python
>>> get_added_time_series(data)
All articles
2020-07-04 5
2020-07-03 8
2020-07-02 2
2020-07-01 5
```
- Number of newly archived articles per day:
```python
>>> get_archived_time_series(data)
Archived articles
2020-07-04 2
```
- Number of articles per domain:
```python
>>> get_domain_counts(data)
Counter({'kalzumeus.com': 3, 'bogleheads.org': 2, 'github.io': 2, 'brendangregg.com': 1, 'martinheinz.dev': 1, 'awealthofcommonsense.com': 1, 'jlcollinsnh.com': 1, 'callan.com': 1, 'engineerseekingfire.com': 1, 'arxiv.org': 1, 'popularmechanics.com': 1, 'dolpages.com': 1, 'economist.com': 1, 'romantomjak.com': 1, 'digitalocean.com': 1, 'deepnote.com': 1})
```
- Number of articles per language:
```python
>>> get_language_counts(data)
Counter({'en': 17, 'unknown': 3})
```
- Number of favorite articles and its percent:
```python
>>> get_favorite_count(data)
{'count': 2, 'percent': 0.1}
```
## Testing
```bash
make check
```
## Deployment
You can deploy the `app.py` as a webserver.
Example: https://dash.plotly.com/deployment.
## Contribute
Please read [CONTRIBUTING.md](CONTRIBUTING.md) for details on our code of conduct, and the process for submitting pull requests to us.
## Authors
- [Bao Nguyen](https://github.com/nlbao).
- [contributors](https://github.com/nlbao/pocket_stats/contributors) who participated in this project.
## License
MIT License - see the [LICENSE.md](LICENSE) file for details.
## Acknowledgments
- Pocket Python client: https://github.com/rakanalh/pocket-api
- fxneumann's OneClickPocket tool: http://reader.fxneumann.de/plugins/oneclickpocket/auth.php